Retrieving cloud top height in the JEM-EUSO cosmic-ray observation system

The main telescope of JEM-EUSO will determine Ultra High Energy Cosmic Ray properties by measuring the UV fluorescence light generated in the interaction between the cosmic rays and the atmosphere. Therefore, cloud information is crucial for a proper interpretation of the data. JEM-EUSO will observ...

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Main Authors: Briz Susana, Anzalone Anna, Isgrò Francesco, Cremonini Roberto, Tabone Ilaria, Bertainav Mario, Rodríguez Irene, Fernández-Gómez Isabel, Castro Antonio J. de
Format: Article
Language:English
Published: EDP Sciences 2015-01-01
Series:EPJ Web of Conferences
Online Access:http://dx.doi.org/10.1051/epjconf/20158903004
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spelling doaj-d9e0915f9494411cab98b9b64c05f7362021-08-02T01:18:12ZengEDP SciencesEPJ Web of Conferences2100-014X2015-01-01890300410.1051/epjconf/20158903004epjconf-atmo2014_03004Retrieving cloud top height in the JEM-EUSO cosmic-ray observation systemBriz Susana0Anzalone AnnaIsgrò FrancescoCremonini Roberto1Tabone Ilaria2Bertainav Mario3Rodríguez Irene4Fernández-Gómez Isabel5Castro Antonio J. de6Universidad Carlos III de MadridDipartimento di Fisica, Università degli Studi di Torino & INFN TorinoDipartimento di Fisica, Università degli Studi di Torino & INFN TorinoDipartimento di Fisica, Università degli Studi di Torino & INFN TorinoUniversidad Carlos III de MadridUniversidad Carlos III de MadridUniversidad Carlos III de Madrid The main telescope of JEM-EUSO will determine Ultra High Energy Cosmic Ray properties by measuring the UV fluorescence light generated in the interaction between the cosmic rays and the atmosphere. Therefore, cloud information is crucial for a proper interpretation of the data. JEM-EUSO will observe the clouds in the field of view of the telescope making use of an atmospheric monitoring system, which consists of a LIDAR and an IR Camera. To retrieve the cloud top height from IR images two different methodologies will be used. The first one is based on stereo vision algorithms and requires two different views of the same scene. The second one is based on the relationship between the cloud top temperature and the cloud top height. From the IR camera the brightness temperature can be retrieved, thus the developed Split Window Algorithm retrieves the real cloud temperature from the brightness temperature in two spectral bands. This article presents a preliminary work, in which both methodologies are compared with the height given by MODIS. The stereo system is provided by the two geostationary satellites MSG-2 and MSG-3. The Split Window Algorithm has been tested in MODIS images of bands 31 and 32. This initial work is a first step to compare a very simplified version of both methodologies. http://dx.doi.org/10.1051/epjconf/20158903004
collection DOAJ
language English
format Article
sources DOAJ
author Briz Susana
Anzalone Anna
Isgrò Francesco
Cremonini Roberto
Tabone Ilaria
Bertainav Mario
Rodríguez Irene
Fernández-Gómez Isabel
Castro Antonio J. de
spellingShingle Briz Susana
Anzalone Anna
Isgrò Francesco
Cremonini Roberto
Tabone Ilaria
Bertainav Mario
Rodríguez Irene
Fernández-Gómez Isabel
Castro Antonio J. de
Retrieving cloud top height in the JEM-EUSO cosmic-ray observation system
EPJ Web of Conferences
author_facet Briz Susana
Anzalone Anna
Isgrò Francesco
Cremonini Roberto
Tabone Ilaria
Bertainav Mario
Rodríguez Irene
Fernández-Gómez Isabel
Castro Antonio J. de
author_sort Briz Susana
title Retrieving cloud top height in the JEM-EUSO cosmic-ray observation system
title_short Retrieving cloud top height in the JEM-EUSO cosmic-ray observation system
title_full Retrieving cloud top height in the JEM-EUSO cosmic-ray observation system
title_fullStr Retrieving cloud top height in the JEM-EUSO cosmic-ray observation system
title_full_unstemmed Retrieving cloud top height in the JEM-EUSO cosmic-ray observation system
title_sort retrieving cloud top height in the jem-euso cosmic-ray observation system
publisher EDP Sciences
series EPJ Web of Conferences
issn 2100-014X
publishDate 2015-01-01
description The main telescope of JEM-EUSO will determine Ultra High Energy Cosmic Ray properties by measuring the UV fluorescence light generated in the interaction between the cosmic rays and the atmosphere. Therefore, cloud information is crucial for a proper interpretation of the data. JEM-EUSO will observe the clouds in the field of view of the telescope making use of an atmospheric monitoring system, which consists of a LIDAR and an IR Camera. To retrieve the cloud top height from IR images two different methodologies will be used. The first one is based on stereo vision algorithms and requires two different views of the same scene. The second one is based on the relationship between the cloud top temperature and the cloud top height. From the IR camera the brightness temperature can be retrieved, thus the developed Split Window Algorithm retrieves the real cloud temperature from the brightness temperature in two spectral bands. This article presents a preliminary work, in which both methodologies are compared with the height given by MODIS. The stereo system is provided by the two geostationary satellites MSG-2 and MSG-3. The Split Window Algorithm has been tested in MODIS images of bands 31 and 32. This initial work is a first step to compare a very simplified version of both methodologies.
url http://dx.doi.org/10.1051/epjconf/20158903004
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